ScaleOps Reviews & Product Details

While I greatly appreciate the cost savings aspect of ScaleOps, I find it as one of my go-to tools for general observability/monitoring of our system. It provides me with an easy way to see potential issues and misconfigurations within our system. We have unearthed many "skeletons" from ScaleOps. Finally, I would be remiss without calling out the support from the ScaleOps team. On multiple occasions, we had issues in the system and the ScaleOps team helped us analyze and remediate. The issue was NOT caused by ScaleOps tooling, but they were patient and dedicated enough to walk us through the real root cause. Review collected by and hosted on G2.com.

I wouldn't call it a dislike, but I would like to see continued feature enrichment on the node management and host side. I can see what ScaleOps wants to do, but I have a difficult time following Karpenter's decision making. I would like to see this in a fully integrated view to understand pod and node movement. Additionally, I have specialized nodes running their own host applications, outside the purview of Kubernetes and sometimes impacting resource management. It would be incredible to have ScaleOps be aware of those system resource usage and factor that into kubelet/system reserved capacity. Review collected by and hosted on G2.com.

As an administrator, my experience with ScaleOps has been highly positive. The platform stands out for its ease of deployment and management, allowing quick onboarding and seamless integration with existing Kubernetes environments. The setup process is intuitive, requiring minimal manual configuration while still offering full control for advanced users.

From a cost optimization perspective, ScaleOps delivers measurable results. Its intelligent automation dynamically adjusts resources based on workload demand, helping to significantly reduce infrastructure costs without compromising performance or stability. The built-in monitoring and analytics tools provide clear visibility into cluster utilization and scaling behavior, simplifying both operations and troubleshooting.

ScaleOps also offers granular configuration options, enabling precise fine-tuning of scaling policies. Administrators can easily tailor thresholds, scaling intervals, and node group behaviors to align with application-specific needs or business SLAs. This flexibility ensures an optimal balance between performance and cost efficiency.

Another strong point is the responsiveness and support quality from the ScaleOps team. Both the customer support and development teams have been proactive, providing timely assistance, clear documentation, and incorporating feedback into product updates. Their engagement reflects a genuine commitment to continuous improvement and customer success.

Overall, ScaleOps is a robust, cost-effective, and admin-friendly automation platform that enhances operational efficiency, reduces cloud spend, and empowers teams to focus more on innovation rather than infrastructure management. Review collected by and hosted on G2.com.

The platform lacks sufficient fault-tolerance in its automation workflows. It’s possible to accidentally trigger a cluster automation without any confirmation or rollback option. There’s no secondary protection step or abort mechanism, which increases the risk of unintended actions on live clusters.

Additionally, the update and versioning approach is not very straightforward. Bug fixes are released under the same version tag, which can create confusion when tracking system updates or validating compatibility across environments. A clearer versioning policy and more transparent update process would help improve operational control and confidence. Review collected by and hosted on G2.com.

I find ScaleOps incredibly effective for automating resource optimization across our Kubernetes clusters, which has significantly improved our cost efficiency and reduced the need for manual intervention. The ease of use and intuitive, clear UI make navigating and applying different policies straightforward, especially with the helpful auto-detection feature. ScaleOps' proactive support is remarkable; they initiate contact when issues arise, providing guidance and hands-on help without us needing to reach out first. I also appreciate the feature that displays resource utilization for each node, providing clear visibility into cluster performance, which, along with the ability to compare memory and CPU requests versus actual usage over time, aids us in understanding and optimizing resource efficiency. These capabilities help us make informed decisions about scaling and resource allocation, preventing over-provisioning and improving operational efficiency. I particularly admire the ease of setup and the support we received, which clarified limitations and helped address any challenges effectively. Overall, ScaleOps is a reliable tool that I'd choose again for its user-friendly interface, proactive support, and efficient resource optimization capabilities, and I would highly recommend it. Review collected by and hosted on G2.com.

I experienced situations where the cluster didn't have enough available resources due to additional replicas attempting to scale up without finding a free node. Also, there were instances where replicas did not initially receive the ScaleOps resource definitions, disrupting their operations. Furthermore, we faced cases where a resource would not immediately adopt the ScaleOps configurations, requiring termination or a restart before the proper policy was applied. Review collected by and hosted on G2.com.

While Kubernetes now supports native vertical pod autoscaling, it's very helpful to have a proper UI with dashboards and being able to search through the entire workloads.

The built-in policies works perfect for most of the cases.

The error and warning indicators in "Node Management" and "Pods Rightsizing" help us to find infrastructure issues. Review collected by and hosted on G2.com.

It gets really slow when working against large EKS cluster (800 Nodes).

When aggregation 10+ clusters, indexing also get slow.

Would love more examples or clearer descriptions on configurable parameters in policies, etc. Review collected by and hosted on G2.com.

ScaleOps has been a game changer for managing our cloud resources efficiently. The platform provides clear visibility into cluster performance and resource utilization, helping us optimize workloads automatically without constant manual intervention. I especially appreciate how seamless it is and how intuitive the UI is — you can immediately see where savings are coming from. The automation features around scaling and right-sizing save both time and cost, and the reporting insights make it easy to communicate value to stakeholders. Overall, it simplifies complex cloud optimization into something actionable and easy to manage. Review collected by and hosted on G2.com.

There’s very little to dislike. Occasionally, the recommendations can take a bit of time to refresh after major configuration changes. Review collected by and hosted on G2.com.

ScaleOps offers a transparent and automated layer of intelligence for optimizing Kubernetes clusters. What I appreciate most is the level of transparency and control it provides; unlike black-box autoscalers, ScaleOps allows me to see the reasoning behind every recommendation or adjustment it makes. The insights into cluster utilization and potential savings are outstanding, and its integration with our existing CI/CD and monitoring workflows has been completely seamless.

Most importantly, their customer support is exceptional; They are very responsive, knowledgeable, and genuinely considerate. It’s one of the best support experiences I’ve encountered. Review collected by and hosted on G2.com.

There are a lot of upgrades, which can feel excessive at times. However, I understand that since Kubernetes is updated frequently and its features evolve, the developers need to continually adjust the code to keep up. Review collected by and hosted on G2.com.

It does what it needs to be done - it saves money :)

It also nice to have the dashboards and monitoring tools even though its not what it meant to be from my point of view.

We use if in a few "low" environment and didn't face any major issues.

Once implemented, its really easy to use and control. Review collected by and hosted on G2.com.

We had some performance issues while using Scaleops in our production environment causing us to partly disabling it and losing trust in the product.

The configuration can be easier to control. Review collected by and hosted on G2.com.

It allows you to almost completely forget about resources adjustments. It creates a very handful performance viewer that allows you and the developers to debug performance issues fast. Review collected by and hosted on G2.com.

The nodes management is lacking some display features - to be able to group nodes by labels (as we are using NetApp Spot.io for cluster autoscaler) Review collected by and hosted on G2.com.

Saves the need to adjust the requirements of a service when the load changes, and does it "live" - no need to deploy a new helm with the adjusted requests.

Gives also great visuality into the cluster's and service's events and helps troubleshoot

Customer support is highly responsive Review collected by and hosted on G2.com.

Has components that are daemonset that sometimes on small nodes have bigger requests than the workload itself which is quite wasteful

Also managing the policies in code is really a needed feature Review collected by and hosted on G2.com.

Intuitive UI - The platform is very clean, simple, and easy to navigate.

Cost Optimization – ScaleOps effectively reduces infrastructure costs without compromising the robustness or performance of the systems.

Great Team Support – The team is highly responsive and proactive, always ready to help with any questions or setup needs. Review collected by and hosted on G2.com.

ScaleOps & Keda – When implementing ScaleOps together with KEDA, it’s important to ensure that workload requests accurately match actual usage. This alignment is key for the optimization algorithms to perform effectively Review collected by and hosted on G2.com.